
MS in Computer Science at Northeastern University, Boston.
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Northeastern University
Data Scientist
June 23, 2026 – Present
DistroSim
May 9, 2026 – Present
A browser-based distributed-systems simulator with chaos engineering. Build topologies on a canvas, watch traffic flow tick by tick, then break things and see how the metrics react.
View ProjectCaduceusAI
April 3, 2026 – Present
Three-tier medical AI platform built with FastAPI, Next.js 14, PostgreSQL with Alembic migrations, Redis, and Ollama. LangGraph StateGraph orchestrates a clinical decision support pipeline featuring triage classification, RAG retrieval from ChromaDB using all-MiniLM-L6-v2 embeddings, chain-of-thought reasoning, PHI escalation with Fernet/AES-256 en
View ProjectOmniRAG
March 28, 2026 – Present
OmniRAG is a decentralized RAG architecture leveraging local LLM inference via Ollama. It orchestrates asynchronous web-scraping, session-isolated vector persistence, and real-time knowledge synthesis, all visualized through an immersive, React-driven semantic graph providing high-fidelity technical insights.
View ProjectJobHuntr
January 23, 2026 – Present
A comprehensive tool to automate your job search for 2026/2027 internships and new grad roles. It scrapes job boards (GitHub, etc.), filters for your keywords, and provides a Kanban board to track your applications.
View ProjectLucera
January 12, 2026 – Present
High-fidelity video pipeline combining Real-ESRGAN upscaling, RIFE interpolation, and Whisper captioning. Features OpenCV analysis, adaptive HLS packaging, and VMAF verification for automated, production-grade enhancement.
View ProjectKernal-Combat
December 1, 2025 – Present
Kernal-Combat is a terminal-themed coding arena built with vanilla JS and CodeMirror. Users can solve algorithmic challenges, compare solutions, and trigger automated “combat” where code metrics (runtime, space usage, LOC, solve speed) determine the winner. The platform includes local profile storage, problem history, and lightweight gamification t
View ProjectRebalance-AI
September 15, 2025 – Present
An end-to-end MLOps platform leveraging distributed orchestration, experiment tracking, and containerized microservices to deliver real-time demand forecasting for Boston's Bluebikes network. The system implements a multi-algorithm ensemble architecture with automated hyperparameter tuning.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, showcasing initiative and a passion for technology. The projects span various domains, from video processing and distributed systems simulation to AI platforms and MLOps, indicating a broad interest and willingness to explore different areas. This aligns well with a culture that values innovation and continuous learning. However, the candidate's experience level is listed as 0, and the only listed 'experience' is a current Data Scientist role at Northeastern University starting in 2026, which seems to be a future or academic role. This lack of professional experience might impact immediate cultural integration into a fast-paced industry environment without mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex, multi-faceted problems. The diversity of projects suggests adaptability and a strong learning aptitude. However, without direct interview data or psychometric test results, a definitive assessment of soft skills like teamwork, communication under pressure, or leadership is not possible.